| Package | Description |
|---|---|
| gov.sandia.cognition.statistics.bayesian.conjugate |
Provides Bayesian estimation routines based on conjugate prior distribution
of parameters of specific conditional distributions.
|
| gov.sandia.cognition.statistics.distribution |
Provides statistical distributions.
|
| Modifier and Type | Method and Description |
|---|---|
BinomialBayesianEstimator.Parameter |
BinomialBayesianEstimator.createParameter(BinomialDistribution conditional,
BetaDistribution prior) |
| Constructor and Description |
|---|
BinomialBayesianEstimator(BinomialDistribution conditional,
BetaDistribution prior)
Creates a new instance of BinomialBayesianEstimator
|
Parameter(BinomialDistribution conditional,
BetaDistribution prior)
Creates a new instance of Parameter
|
| Constructor and Description |
|---|
BinomialBayesianEstimator(BayesianParameter<java.lang.Double,BinomialDistribution,BetaDistribution> parameter)
Creates a new instance of BinomialBayesianEstimator
|
| Modifier and Type | Class and Description |
|---|---|
static class |
BinomialDistribution.CDF
CDF of the Binomial distribution, which is the probability of getting
up to "x" successes in "N" trials with a Bernoulli probability of "p"
|
static class |
BinomialDistribution.PMF
The Probability Mass Function of a binomial distribution.
|
| Modifier and Type | Method and Description |
|---|---|
BinomialDistribution |
BinomialDistribution.clone() |
| Constructor and Description |
|---|
BinomialDistribution(BinomialDistribution other)
Copy constructor
|
CDF(BinomialDistribution other)
Creates a new instance of CDF
|
PMF(BinomialDistribution other)
Copy constructor
|